Morales Martínez, S.; Naranjo Ornedo, V.; Navea, A.; Alcañiz Raya, ML. (2014). Computer-Aided Diagnosis Software for Hypertensive Risk Determination Through Fundus Image Processing. IEEE Journal of Biomedical and Health Informatics. 18(6):1757-1763. https://doi.org/10.1109/JBHI.2014.2337960
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/54355
Title:
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Computer-Aided Diagnosis Software for Hypertensive Risk Determination Through Fundus Image Processing
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Author:
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Morales Martínez, Sandra
Naranjo Ornedo, Valeriana
Navea, Amparo
Alcañiz Raya, Mariano Luis
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UPV Unit:
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Universitat Politècnica de València. Instituto Interuniversitario de Investigación en Bioingeniería y Tecnología Orientada al Ser Humano - Institut Interuniversitari d'Investigació en Bioenginyeria i Tecnologia Orientada a l'Ésser Humà
Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions
Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica
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Issued date:
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Abstract:
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The goal of the software proposed in this paper is to assist ophthalmologists in diagnosis and disease prevention, helping them to determine cardiovascular risk or other diseases where the vessels can be altered, as well ...[+]
The goal of the software proposed in this paper is to assist ophthalmologists in diagnosis and disease prevention, helping them to determine cardiovascular risk or other diseases where the vessels can be altered, as well as to monitor the pathology progression and response to different treatments. The performance of the tool has been evaluated by means of a double-blind study where its sensitivity, specificity, and reproducibility to discriminate between health fundus (without cardiovascular risk) and hypertensive patients has been calculated in contrast to an expert ophthalmologist opinion obtained through a visual inspection of the fundus image. An improvement of almost 20% has been achieved comparing the system results with the clinical visual classification.
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Subjects:
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Bifurcation angles
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Hypertension
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Retinal vascular tree
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Retinal vessels
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Vessel caliber
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Copyrigths:
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Reserva de todos los derechos
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Source:
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IEEE Journal of Biomedical and Health Informatics. (issn:
2168-2194
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DOI:
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10.1109/JBHI.2014.2337960
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Publisher:
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Institute of Electrical and Electronics Engineers (IEEE)
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Publisher version:
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http://dx.doi.org/10.1109/JBHI.2014.2337960
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Project ID:
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info:eu-repo/grantAgreement/MINECO//TIN2013-46751-R/ES/ANALISIS DE IMAGEN DE FONDO DE OJO PARA CRIBADO AUTOMATICO DE ENFERMEDADES OFTALMOLOGICAS/
info:eu-repo/grantAgreement/MEC//SEJ2006-14301/ES/NUEVAS TECNOLOGIAS DE LA INFORMACION Y LA COMUNICACION: INTEGRACION Y CONSOLIDACION DE SU USO EN CIENCIAS SOCIALES PARA MEJORAR LA SALUD, LA CALIDAD DE VIDA Y EL BIENESTAR/
info:eu-repo/grantAgreement/GVA//PROMETEO08%2F2008%2F157/ES/Promoción del bienestar a través de las tecnologías de la información y comunicación (probientic)/
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Description:
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"(c) 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works."
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Thanks:
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This work was supported in part by Ministerio de Economia y Competitividad of Spain, Project ACRIMA (TIN2013-46751-R) and partially by the Projects Consolider-C (SEJ2006 14301/PSIC), CIBER of Physiopathology of Obesity and ...[+]
This work was supported in part by Ministerio de Economia y Competitividad of Spain, Project ACRIMA (TIN2013-46751-R) and partially by the Projects Consolider-C (SEJ2006 14301/PSIC), CIBER of Physiopathology of Obesity and Nutrition, an initiative of ISCIII, and the Excellence Research Program PROMETEO (Generalitat Valenciana. Conselleria de Educacion, 2008157).
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Type:
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Artículo
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